WebMetrics - A Survey of Web Metrics DEVANSHU DHYANI, WEE...

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A Survey of Web Metrics DEVANSHU DHYANI, WEE KEONG NG, AND SOURAV S. BHOWMICK Nanyang Technological University The unabated growth and increasing significance of the World Wide Web has resulted in a flurry of research activity to improve its capacity for serving information more effectively. But at the heart of these efforts lie implicit assumptions about “quality” and “usefulness” of Web resources and services. This observation points towards measurements and models that quantify various attributes of web sites. The science of measuring all aspects of information, especially its storage and retrieval or informetrics has interested information scientists for decades before the existence of the Web. Is Web informetrics any different, or is it just an application of classical informetrics to a new medium? In this article, we examine this issue by classifying and discussing a wide ranging set of Web metrics. We present the origins, measurement functions, formulations and comparisons of well-known Web metrics for quantifying Web graph properties , Web page significance , Web page similarity , search and retrieval , usage characterization and information theoretic properties . We also discuss how these metrics can be applied for improving Web information access and use. Categories and Subject Descriptors: H.1.0 [Models and Principles] : General; H.3.3 [Information Storage and Retrieval] : Information Search and Retrieval; I.7.0 [Document and Text Processing] : General General Terms: Measurement Additional Key Words and Phrases: Information theoretic, PageRank, quality metrics, Web graph, Web metrics, Web page similarity 1. INTRODUCTION The importance of measuring attributes of known objects in precise quantitative terms has long been recognized as crucial for enhancing our understanding of our environment. This notion has been aptly summarized by Lord Kelvin: “When you can measure what you are speak- ing about, and express it in numbers, you know Authors’ address: College of Engineering, School of Computing Engineering, Nanyang Technological University, Blk N4-2A-32, 50 Nanyang Avenue, Singapore 639789, Singapore; email: { assourav,awkng } @ntu.edu.sg. Permission to make digital or hard copies of part or all of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or direct commercial advantage and that copies show this notice on the first page or initial screen of a display along with the full citation. Copy- rights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, to republish, to post on servers, to redistribute to lists, or to use any component of this work in other works requires prior specific permission and/or a fee. Permissions may be requested from Publications Dept., ACM, Inc., 1515 Broadway, New York, NY 10036 USA, fax: + 1 (212) 869-0481, or permissions@acm.org.
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This note was uploaded on 07/30/2011 for the course COP 4810 taught by Professor Staff during the Spring '11 term at University of Central Florida.

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WebMetrics - A Survey of Web Metrics DEVANSHU DHYANI, WEE...

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